#jupyter_notebook #ai #azure #chatgpt #dall_e #generative_ai #generativeai #gpt #language_model #llms #openai #prompt_engineering #semantic_search #transformers

This course teaches you how to build Generative AI applications with 21 comprehensive lessons from Microsoft Cloud Advocates. You'll learn about Generative AI, Large Language Models (LLMs), prompt engineering, and how to build various applications like text generation, chat apps, and image generation using Python and TypeScript. The course includes videos, written lessons, code samples, and additional learning resources. You can start anywhere and even join a Discord server for support and networking with other learners. This helps you gain practical skills in building and deploying Generative AI applications responsibly and effectively.

https://github.com/microsoft/generative-ai-for-beginners

#rust #functional_language #functional_programming #hacktoberfest #language #roc_lang

Roc is a new programming language that is still in development. Even though it's not fully ready, you can already find helpful resources like an installation guide, a tutorial, documentation for the standard library, examples, and a FAQ section. There's also a group chat where you can ask questions and get help. If you want to contribute or sponsor Roc, there are several ways to do so, including through donations or corporate sponsorship. This helps the language improve and become more useful for users.

https://github.com/roc-lang/roc

#python #bert #deep_learning #flax #hacktoberfest #jax #language_model #language_models #machine_learning #model_hub #natural_language_processing #nlp #nlp_library #pretrained_models #python #pytorch #pytorch_transformers #seq2seq #speech_recognition #tensorflow #transformer

The Hugging Face Transformers library provides thousands of pretrained models for various tasks like text, image, and audio processing. These models can be used for tasks such as text classification, image detection, speech recognition, and more. The library supports popular deep learning frameworks like JAX, PyTorch, and TensorFlow, making it easy to switch between them.

The benefit to the user is that you can quickly download and use these pretrained models with just a few lines of code, saving time and computational resources. You can also fine-tune these models on your own datasets and share them with the community. Additionally, the library offers a simple `pipeline` API for immediate use on different inputs, making it user-friendly for both researchers and practitioners. This helps in reducing compute costs and carbon footprint while enabling high-performance results across various machine learning tasks.

https://github.com/huggingface/transformers

#ruby #c #jit #language #object_oriented #programming_language #ruby #ruby_language #rust

Ruby is a simple and powerful programming language used for web development and scripting. It has a straightforward syntax and advanced object-oriented features, making it easy to learn and use. Ruby works on many platforms, including Windows, macOS, and Unix-like systems. You can install Ruby using various methods, including downloading from the official website or using Git. The language offers features like exception handling, iterators, and garbage collection, making it highly portable and efficient. This makes Ruby beneficial for users who need a flexible and easy-to-use programming language for various tasks.

https://github.com/ruby/ruby

#python #chatbot #chatbots #chatgpt #chatgpt_4 #chatgpt_api #chatgpt_free #chatgpt4 #free_gpt #gpt #gpt_3 #gpt_4 #gpt3 #gpt4 #gpt4_api #language_model #openai #openai_api #openai_chatgpt #python #reverse_engineering

The `gpt4free` project is a tool that allows you to use various AI models like GPT-3.5 and DALL-E 3 without paying for expensive APIs. Here’s how it helps you It supports multiple AI providers, including OpenAI, Bing, and others, allowing you to choose the best option for your needs.
- **Easy Installation** It includes a web UI that you can access locally, making it easy to interact with the AI models.
- **Customization** The project is open-source and actively maintained by a community of contributors, ensuring continuous improvements and new features.

Overall, `gpt4free` provides a flexible and cost-effective way to leverage advanced AI capabilities.

https://github.com/xtekky/gpt4free

#python #asr #audio #audio_processing #deep_learning #huggingface #language_model #pytorch #speaker_diarization #speaker_recognition #speaker_verification #speech_enhancement #speech_processing #speech_recognition #speech_separation #speech_to_text #speech_toolkit #speechrecognition #spoken_language_understanding #transformers #voice_recognition

SpeechBrain is an open-source toolkit that helps you quickly develop Conversational AI technologies, such as speech assistants, chatbots, and language models. It uses PyTorch and offers many pre-trained models and tutorials to make it easy to get started. You can train models for various tasks like speech recognition, speaker recognition, and text processing with just a few lines of code. SpeechBrain also supports GPU training, dynamic batching, and integration with HuggingFace models, making it powerful and efficient. This toolkit is beneficial because it simplifies the development process, provides extensive documentation and tutorials, and is highly customizable, making it ideal for research, prototyping, and educational purposes.

https://github.com/speechbrain/speechbrain

#v_lang #compiler #language #programming_language #v

The V Programming Language is designed to be simple, fast, and safe. You can learn it in just a weekend. Here are the key benefits V compiles quickly, even faster than some other languages.
- **Performance** V compiles itself in less than a second and supports hot code reloading.
- **Cross-Platform** After version 1.0, V will not have breaking changes, ensuring your code remains stable.

Overall, V makes programming easier, faster, and more reliable.

https://github.com/vlang/v

#python #agent #ai #chatglm #fine_tuning #gpt #instruction_tuning #language_model #large_language_models #llama #llama3 #llm #lora #mistral #moe #peft #qlora #quantization #qwen #rlhf #transformers

LLaMA Factory is a tool that makes it easy to fine-tune large language models. It supports many different models like LLaMA, ChatGLM, and Qwen, among others. You can use various training methods such as full-tuning, freeze-tuning, LoRA, and QLoRA, which are efficient and save GPU memory. The tool also includes advanced algorithms and practical tricks to improve performance.

Using LLaMA Factory, you can train models up to 3.7 times faster with better results compared to other methods. It provides a user-friendly interface through Colab, PAI-DSW, or local machines, and even offers a web UI for easier management. The benefit to you is that it simplifies the process of fine-tuning large language models, making it faster and more efficient, which can be very useful for research and development projects.

https://github.com/hiyouga/LLaMA-Factory

#lua #language_server #language_server_protocol #lsp #neovim #nvim #plugin #vim

nvim-lspconfig is a tool that helps you set up language servers in Neovim, a text editor. It provides default configurations for various language servers, making it easier to get started with features like auto-completion, code formatting, and diagnostics. To use it, you need to install the language server for your programming language and add a few lines of code to your Neovim configuration file. This setup allows you to navigate code more efficiently, fix errors quickly, and write better code. The benefit is that it enhances your coding experience by providing powerful tools directly within your text editor.

https://github.com/neovim/nvim-lspconfig

#zig #compiler #language #zig

Zig is a programming language and toolchain that helps you create robust, optimal, and reusable software. You can easily install it by downloading a pre-built binary or using a package manager, and it works right away without needing a global installation. Zig is flexible; you can build it from source with or without LLVM, making it useful for various development needs. By using Zig for your projects, you contribute to its improvement and can find community support through various social spaces. This makes Zig a powerful and user-friendly tool for software development.

https://github.com/ziglang/zig